Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/12836#issuecomment-219925061
I mean is it too simple to allow grouping by columns only - what if after
grouped by columns the dataset is too large to fit in memory?
What if we are to support group and aggregated data (so it would be
smaller)?
In fact, seems like "apply" on groups within a data frame should/could be a
variant of `dapply` via the `by` parameter?
http://exposurescience.org/heR.doc/library/heR.Misc/html/dapply.html
http://exposurescience.org/heR.doc/library/stats/html/aggregate.html
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